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Quantum-noise-limited optical neural networks operating at a few quanta per activation
A practical limit to energy efficiency in computation is ultimately from noise, with quantum noise [1] as the fundamental floor. Analog physical neural networks [2], which hold promise for improved energy efficiency and speed compared to digital electronic neural networks, are nevertheless typically...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Journal Experts
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635295/ https://www.ncbi.nlm.nih.gov/pubmed/37961369 http://dx.doi.org/10.21203/rs.3.rs-3318262/v1 |